| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.163 | | leniency | 0.326 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1189 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 66.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1189 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flicked" | | 1 | "silence" | | 2 | "stomach" | | 3 | "tension" | | 4 | "tracing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "stomach dropped" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 101 | | matches | | 0 | "t in anger" | | 1 | "was terrified" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 13 | | totalWords | 1170 | | ratio | 0.011 | | matches | | 0 | "clink" | | 1 | "something else" | | 2 | "him" | | 3 | "ask" | | 4 | "took" | | 5 | "please" | | 6 | "you" | | 7 | "want" | | 8 | "Run." | | 9 | "I" | | 10 | "You’re bleeding." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 991 | | uniqueNames | 7 | | maxNameDensity | 0.4 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Evan" | | discoveredNames | | Evan | 2 | | Soho | 1 | | Moreau | 3 | | Frenchman | 1 | | Prague | 2 | | French | 1 | | Lucien | 4 |
| | persons | | 0 | "Evan" | | 1 | "Moreau" | | 2 | "Lucien" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "French" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.855 | | wordCount | 1170 | | matches | | 0 | "not in anger, but in desperation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 135 | | matches | | 0 | "chose that moment" | | 1 | "realised that whatever" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 19.5 | | std | 21.12 | | cv | 1.083 | | sampleLengths | | 0 | 64 | | 1 | 68 | | 2 | 10 | | 3 | 57 | | 4 | 64 | | 5 | 18 | | 6 | 60 | | 7 | 6 | | 8 | 11 | | 9 | 45 | | 10 | 1 | | 11 | 7 | | 12 | 51 | | 13 | 3 | | 14 | 63 | | 15 | 13 | | 16 | 19 | | 17 | 50 | | 18 | 3 | | 19 | 2 | | 20 | 6 | | 21 | 3 | | 22 | 66 | | 23 | 9 | | 24 | 1 | | 25 | 2 | | 26 | 1 | | 27 | 13 | | 28 | 37 | | 29 | 4 | | 30 | 8 | | 31 | 34 | | 32 | 7 | | 33 | 2 | | 34 | 1 | | 35 | 2 | | 36 | 11 | | 37 | 7 | | 38 | 3 | | 39 | 3 | | 40 | 11 | | 41 | 58 | | 42 | 3 | | 43 | 7 | | 44 | 3 | | 45 | 1 | | 46 | 30 | | 47 | 24 | | 48 | 10 | | 49 | 10 |
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| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "was faded" | | 1 | "been carved" | | 2 | "was terrified" |
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| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 172 | | matches | | 0 | "were doing" | | 1 | "was measuring" | | 2 | "was holding" | | 3 | "was standing" |
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| 15.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 135 | | ratio | 0.044 | | matches | | 0 | "No one visited at this hour—not unless they were lost, drunk, or carrying bad news." | | 1 | "That voice—smooth as aged whiskey, laced with something darker." | | 2 | "The door swung open just enough to reveal him in full—tailored charcoal suit, ivory-handled cane tapping against the scuffed linoleum, the faintest scent of bergamot and something smoky clinging to him." | | 3 | "“Charming as ever.” He tilted his head, taking in the flat behind her—the stacks of books, the half-empty takeaway containers, the way her fingers still hovered near the doorframe, ready to slam it shut." | | 4 | "Not paper—parchment, yellowed and brittle at the edges." | | 5 | "And at the bottom, a symbol she recognised—the same one that had been carved into the doorframe of the safe house in Prague." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1005 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03383084577114428 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003980099502487562 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 8.67 | | std | 7.34 | | cv | 0.847 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 13 | | 3 | 15 | | 4 | 16 | | 5 | 16 | | 6 | 2 | | 7 | 20 | | 8 | 5 | | 9 | 9 | | 10 | 7 | | 11 | 3 | | 12 | 3 | | 13 | 9 | | 14 | 23 | | 15 | 22 | | 16 | 14 | | 17 | 29 | | 18 | 2 | | 19 | 2 | | 20 | 3 | | 21 | 14 | | 22 | 14 | | 23 | 4 | | 24 | 12 | | 25 | 17 | | 26 | 31 | | 27 | 6 | | 28 | 6 | | 29 | 5 | | 30 | 7 | | 31 | 34 | | 32 | 4 | | 33 | 1 | | 34 | 4 | | 35 | 3 | | 36 | 9 | | 37 | 4 | | 38 | 3 | | 39 | 2 | | 40 | 3 | | 41 | 3 | | 42 | 27 | | 43 | 3 | | 44 | 11 | | 45 | 11 | | 46 | 14 | | 47 | 8 | | 48 | 19 | | 49 | 6 |
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| 42.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3111111111111111 | | totalSentences | 135 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 83 | | matches | | 0 | "Then he crossed the threshold," | | 1 | "Instead, he reached into his" | | 2 | "Then he set the parchment" |
| | ratio | 0.036 | |
| 36.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 83 | | matches | | 0 | "She set the mug down" | | 1 | "She’d installed them herself after" | | 2 | "Her breath hitched." | | 3 | "She hadn’t heard it in" | | 4 | "She crossed the room in" | | 5 | "Her ex-business partner." | | 6 | "Her ex-*something else*, too, though" | | 7 | "His amber-and-black gaze flicked up," | | 8 | "She exhaled through her nose" | | 9 | "She didn’t bother with a" | | 10 | "His lips quirked, not quite" | | 11 | "He tilted his head, taking" | | 12 | "He didn’t *ask*." | | 13 | "She stepped back." | | 14 | "He didn’t move at first," | | 15 | "She folded her arms" | | 16 | "He set his cane against" | | 17 | "She turned away, busying herself" | | 18 | "She paused, her back still" | | 19 | "She could hear him breathing," |
| | ratio | 0.458 | |
| 62.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 83 | | matches | | 0 | "The knock came just after" | | 1 | "Rory froze mid-sip, the lukewarm" | | 2 | "Ptolemy’s ears twitched, his tail" | | 3 | "She set the mug down" | | 4 | "The flat smelled of old" | | 5 | "She’d installed them herself after" | | 6 | "This was someone who expected" | | 7 | "The knock came again, harder" | | 8 | "Her breath hitched." | | 9 | "That voice—smooth as aged whiskey," | | 10 | "She hadn’t heard it in" | | 11 | "She crossed the room in" | | 12 | "The fish-eye lens warped him," | | 13 | "Her ex-business partner." | | 14 | "Her ex-*something else*, too, though" | | 15 | "His amber-and-black gaze flicked up," | | 16 | "She exhaled through her nose" | | 17 | "The last one stuck, and" | | 18 | "The door swung open just" | | 19 | "She didn’t bother with a" |
| | ratio | 0.795 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 83 | | matches | | 0 | "Before the job in Prague" | | 1 | "Before the night in his" | | 2 | "Before she’d realised that whatever" |
| | ratio | 0.036 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "His amber-and-black gaze flicked up, as if he could see her through the door." | | 1 | "The door swung shut behind him with a finality that made her stomach twist." | | 2 | "Lucien Moreau, half-demon fixer, man who’d once told her he didn’t know the meaning of fear, was standing in her flat at midnight admitting he was terrified." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0 | | effectiveRatio | 0 | |